AI Engineer

Designlibro•San Jose, CA

12d•$140,000 - $230,000

About The Position

As an AI Engineer, you will be responsible for designing, developing, and deploying AI and machine learning models to enhance the capabilities of our consumer electronics and IoT products. You will collaborate with cross-functional teams, including software engineers, hardware engineers, and product managers, to bring intelligent features to life. This role focuses on computer vision, vision-language models (VLMs), large language models (LLMs), and building scalable AI serving infrastructure.

Requirements

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related field
2+ years of experience in AI/ML development, preferably in the consumer electronics or IoT industry
Proficiency in programming languages such as Python and C++
Experience with AI/ML frameworks such as PyTorch, Hugging Face Transformers
Strong background in computer vision, deep learning, large language models (LLMs), or vision-language models (VLMs)
Experience with LLM/VLM fine-tuning techniques
Familiarity with model serving and inference optimization frameworks (vLLM, TensorRT, ONNX Runtime)
Experience with embedded AI and edge computing frameworks (e.g., ONNX, TensorRT)
Knowledge of data processing pipelines, model training, and hyperparameter tuning
Familiarity with cloud AI services (AWS SageMaker, Google Cloud AI, Azure AI) and MLOps practices
Understanding of model compression techniques including quantization, pruning, and distillation
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment
Excellent verbal and written communication skills

Nice To Haves

Experience developing AI applications for smart home devices, wearables, or industrial IoT
Hands-on experience with multimodal AI systems combining vision and language
Experience building production LLM/VLM serving infrastructure with high throughput and low latency requirements
Understanding of distributed training and inference for large models
Understanding of sensor fusion, signal processing, and real-time analytics
Knowledge of AI ethics, privacy, and security considerations in IoT applications
Experience with deployment tools such as Docker, Kubernetes, and CI/CD pipelines

Responsibilities

Design, develop, and optimize AI/ML models for edge computing and cloud-based applications
Train, fine-tune, and deploy vision-language models (VLMs) for multimodal AI applications in pet care and IoT products
Develop and fine-tune large language models (LLMs) for domain-specific applications
Build and optimize model serving infrastructure for VLM/LLM inference using frameworks like vLLM
Work with large-scale datasets to train, test, and validate AI models, including multimodal datasets (text, images, video)
Collaborate with software and firmware engineers to integrate AI models into embedded systems and mobile applications
Optimize AI algorithms for efficiency, power consumption, and real-time performance in resource-constrained environments
Implement batching, caching, quantization (INT8, INT4), and other optimization techniques to reduce inference costs
Stay updated with the latest AI/ML advancements and research to apply innovative solutions to our products
Develop and maintain documentation, including model architecture, training procedures, and performance benchmarks
Support the deployment and monitoring of AI models in production environments